Error in normalize.quantiles.robust
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@darteta001ikasleehues-2388
Last seen 9.7 years ago
Dear list, I have a matrix I imported using read.table with raw intensity data for 12 samples and 2300 genes in one colour, as folows: > dim(xxx) [1] 2352 12 > head(xxx) 0025 0039 0041 0043 0047 0058 0061 0067 0072 0073 0078 0085 A0001 953 509 1669 867 6672 1526 453 397 883 686 382 429 A0002 1769 641 1635 1357 4364 1308 552 441 888 1374 493 693 A0003 2304 943 2701 1745 4966 1622 807 591 1283 1579 517 870 A0004 2185 1235 3992 1866 6462 1556 1004 781 1512 1911 762 906 A0005 1842 1008 1904 1434 6331 1155 759 515 1155 1448 510 764 A0006 1586 909 2294 641 7729 1367 788 489 1317 714 503 301 > class(xxx) [1] "matrix" I am trying to normalize using robust quantiles but I get an error that I don?t understand. > log.quant.rob.norm<-normalize.quantiles.robust(xxx,use.log2=TRUE) Error in normalize.quantiles.robust(xxx, use.log2 = TRUE) : REAL() can only be applied to a 'numeric', not a 'integer' > is.numeric(xxx) [1] TRUE Can anyone help me with this? TIA, D.
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@martin-morgan-1513
Last seen 19 days ago
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Hi David -- DAVID ARTETA GARCIA <darteta001 at="" ikasle.ehu.es=""> writes: > Dear list, I have a matrix I imported using read.table with raw > intensity data for 12 samples and 2300 genes in one colour, as folows: > >> dim(xxx) > [1] 2352 12 > >> head(xxx) > 0025 0039 0041 0043 0047 0058 0061 0067 0072 0073 0078 0085 > A0001 953 509 1669 867 6672 1526 453 397 883 686 382 429 > A0002 1769 641 1635 1357 4364 1308 552 441 888 1374 493 693 > A0003 2304 943 2701 1745 4966 1622 807 591 1283 1579 517 870 > A0004 2185 1235 3992 1866 6462 1556 1004 781 1512 1911 762 906 > A0005 1842 1008 1904 1434 6331 1155 759 515 1155 1448 510 764 > A0006 1586 909 2294 641 7729 1367 788 489 1317 714 503 301 > > >> class(xxx) > [1] "matrix" > > > I am trying to normalize using robust quantiles but I get an error > that I don?t understand. > >> log.quant.rob.norm<-normalize.quantiles.robust(xxx,use.log2=TRUE) > Error in normalize.quantiles.robust(xxx, use.log2 = TRUE) : > REAL() can only be applied to a 'numeric', not a 'integer' >> is.numeric(xxx) > [1] TRUE I guess is.integer(xxx) returns TRUE; integer is a subclass of numeric, so they are both TRUE. You'll want to convert your intensity measures to numeric (e.g., with the colClasses="numeric" argument to whatever read.* function you used, or as.numeric(xxx). Martin > > Can anyone help me with this? > > TIA, > > D. > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor -- Martin Morgan Computational Biology / Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N. PO Box 19024 Seattle, WA 98109 Location: Arnold Building M2 B169 Phone: (206) 667-2793
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@darteta001ikasleehues-2388
Last seen 9.7 years ago
Dear Martin, thanks for your answer. I cannot make your first suggestion work: > xxx <- read.table("mydata.txt", sep = "\t", header=TRUE,colClasses="numeric") Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : scan() expected 'a real', got 'A0001' I also tried removing the row.names and then I get > log.quant.rob.norm <-normalize.quantiles.robust(as.numeric(xxx)) Error in normalize.quantiles.robust(as.numeric(xxx)) : INTEGER() can only be applied to a 'integer', not a 'NULL' Any more thoughts? D. Martin Morgan <mtmorgan at="" fhcrc.org=""> ha escrito: > Hi David -- > > DAVID ARTETA GARCIA <darteta001 at="" ikasle.ehu.es=""> writes: > >> Dear list, I have a matrix I imported using read.table with raw >> intensity data for 12 samples and 2300 genes in one colour, as folows: >> >>> dim(xxx) >> [1] 2352 12 >> >>> head(xxx) >> 0025 0039 0041 0043 0047 0058 0061 0067 0072 0073 0078 0085 >> A0001 953 509 1669 867 6672 1526 453 397 883 686 382 429 >> A0002 1769 641 1635 1357 4364 1308 552 441 888 1374 493 693 >> A0003 2304 943 2701 1745 4966 1622 807 591 1283 1579 517 870 >> A0004 2185 1235 3992 1866 6462 1556 1004 781 1512 1911 762 906 >> A0005 1842 1008 1904 1434 6331 1155 759 515 1155 1448 510 764 >> A0006 1586 909 2294 641 7729 1367 788 489 1317 714 503 301 >> >> >>> class(xxx) >> [1] "matrix" >> >> >> I am trying to normalize using robust quantiles but I get an error >> that I don?t understand. >> >>> log.quant.rob.norm<-normalize.quantiles.robust(xxx,use.log2=TRUE) >> Error in normalize.quantiles.robust(xxx, use.log2 = TRUE) : >> REAL() can only be applied to a 'numeric', not a 'integer' >>> is.numeric(xxx) >> [1] TRUE > > I guess is.integer(xxx) returns TRUE; integer is a subclass of > numeric, so they are both TRUE. You'll want to convert your intensity > measures to numeric (e.g., with the colClasses="numeric" argument to > whatever read.* function you used, or as.numeric(xxx). > > Martin > >> >> Can anyone help me with this? >> >> TIA, >> >> D. >> >> _______________________________________________ >> Bioconductor mailing list >> Bioconductor at stat.math.ethz.ch >> https://stat.ethz.ch/mailman/listinfo/bioconductor >> Search the archives: >> http://news.gmane.org/gmane.science.biology.informatics.conductor > > -- > Martin Morgan > Computational Biology / Fred Hutchinson Cancer Research Center > 1100 Fairview Ave. N. > PO Box 19024 Seattle, WA 98109 > > Location: Arnold Building M2 B169 > Phone: (206) 667-2793 > >
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xxx should be of storage class double storage.mode(xxx) to get normalize.quantiles.robust to work. Also with colClasses in read.table you need to specify storage mode for each column you are reading. On Wed, 2008-07-02 at 16:05 +0200, DAVID ARTETA GARCIA wrote: > Dear Martin, thanks for your answer. I cannot make your first suggestion work: > > > xxx <- read.table("mydata.txt", sep = "\t", header=TRUE,colClasses="numeric") > Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : > scan() expected 'a real', got 'A0001' > > I also tried removing the row.names and then I get > > > log.quant.rob.norm <-normalize.quantiles.robust(as.numeric(xxx)) > Error in normalize.quantiles.robust(as.numeric(xxx)) : > INTEGER() can only be applied to a 'integer', not a 'NULL' > > > Any more thoughts? > > D. > > > > Martin Morgan <mtmorgan at="" fhcrc.org=""> ha escrito: > > > Hi David -- > > > > DAVID ARTETA GARCIA <darteta001 at="" ikasle.ehu.es=""> writes: > > > >> Dear list, I have a matrix I imported using read.table with raw > >> intensity data for 12 samples and 2300 genes in one colour, as folows: > >> > >>> dim(xxx) > >> [1] 2352 12 > >> > >>> head(xxx) > >> 0025 0039 0041 0043 0047 0058 0061 0067 0072 0073 0078 0085 > >> A0001 953 509 1669 867 6672 1526 453 397 883 686 382 429 > >> A0002 1769 641 1635 1357 4364 1308 552 441 888 1374 493 693 > >> A0003 2304 943 2701 1745 4966 1622 807 591 1283 1579 517 870 > >> A0004 2185 1235 3992 1866 6462 1556 1004 781 1512 1911 762 906 > >> A0005 1842 1008 1904 1434 6331 1155 759 515 1155 1448 510 764 > >> A0006 1586 909 2294 641 7729 1367 788 489 1317 714 503 301 > >> > >> > >>> class(xxx) > >> [1] "matrix" > >> > >> > >> I am trying to normalize using robust quantiles but I get an error > >> that I don?t understand. > >> > >>> log.quant.rob.norm<-normalize.quantiles.robust(xxx,use.log2=TRUE) > >> Error in normalize.quantiles.robust(xxx, use.log2 = TRUE) : > >> REAL() can only be applied to a 'numeric', not a 'integer' > >>> is.numeric(xxx) > >> [1] TRUE > > > > I guess is.integer(xxx) returns TRUE; integer is a subclass of > > numeric, so they are both TRUE. You'll want to convert your intensity > > measures to numeric (e.g., with the colClasses="numeric" argument to > > whatever read.* function you used, or as.numeric(xxx). > > > > Martin > > > >> > >> Can anyone help me with this? > >> > >> TIA, > >> > >> D. > >> > >> _______________________________________________ > >> Bioconductor mailing list > >> Bioconductor at stat.math.ethz.ch > >> https://stat.ethz.ch/mailman/listinfo/bioconductor > >> Search the archives: > >> http://news.gmane.org/gmane.science.biology.informatics.conductor > > > > -- > > Martin Morgan > > Computational Biology / Fred Hutchinson Cancer Research Center > > 1100 Fairview Ave. N. > > PO Box 19024 Seattle, WA 98109 > > > > Location: Arnold Building M2 B169 > > Phone: (206) 667-2793 > > > > > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor
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Hi David, I think you also need a row.names = 1 in your call to read.table. Check ?read.table to make sure - I don't have R on this computer so I can't check myself. Best, Jim DAVID ARTETA GARCIA wrote: > Dear Martin, thanks for your answer. I cannot make your first > suggestion work: > >> xxx <- read.table("mydata.txt", sep = "\t", >> header=TRUE,colClasses="numeric") > Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, > na.strings, : > scan() expected 'a real', got 'A0001' > > I also tried removing the row.names and then I get > >> log.quant.rob.norm <-normalize.quantiles.robust(as.numeric(xxx)) > Error in normalize.quantiles.robust(as.numeric(xxx)) : > INTEGER() can only be applied to a 'integer', not a 'NULL' > > > Any more thoughts? > > D. > > > > Martin Morgan <mtmorgan at="" fhcrc.org=""> ha escrito: > >> Hi David -- >> >> DAVID ARTETA GARCIA <darteta001 at="" ikasle.ehu.es=""> writes: >> >>> Dear list, I have a matrix I imported using read.table with raw >>> intensity data for 12 samples and 2300 genes in one colour, as folows: >>> >>>> dim(xxx) >>> [1] 2352 12 >>> >>>> head(xxx) >>> 0025 0039 0041 0043 0047 0058 0061 0067 0072 0073 0078 0085 >>> A0001 953 509 1669 867 6672 1526 453 397 883 686 382 429 >>> A0002 1769 641 1635 1357 4364 1308 552 441 888 1374 493 693 >>> A0003 2304 943 2701 1745 4966 1622 807 591 1283 1579 517 870 >>> A0004 2185 1235 3992 1866 6462 1556 1004 781 1512 1911 762 906 >>> A0005 1842 1008 1904 1434 6331 1155 759 515 1155 1448 510 764 >>> A0006 1586 909 2294 641 7729 1367 788 489 1317 714 503 301 >>> >>> >>>> class(xxx) >>> [1] "matrix" >>> >>> >>> I am trying to normalize using robust quantiles but I get an error >>> that I don?t understand. >>> >>>> log.quant.rob.norm<-normalize.quantiles.robust(xxx,use.log2=TRUE) >>> Error in normalize.quantiles.robust(xxx, use.log2 = TRUE) : >>> REAL() can only be applied to a 'numeric', not a 'integer' >>>> is.numeric(xxx) >>> [1] TRUE >> >> I guess is.integer(xxx) returns TRUE; integer is a subclass of >> numeric, so they are both TRUE. You'll want to convert your intensity >> measures to numeric (e.g., with the colClasses="numeric" argument to >> whatever read.* function you used, or as.numeric(xxx). >> >> Martin >> >>> >>> Can anyone help me with this? >>> >>> TIA, >>> >>> D. >>> >>> _______________________________________________ >>> Bioconductor mailing list >>> Bioconductor at stat.math.ethz.ch >>> https://stat.ethz.ch/mailman/listinfo/bioconductor >>> Search the archives: >>> http://news.gmane.org/gmane.science.biology.informatics.conductor >> >> -- >> Martin Morgan >> Computational Biology / Fred Hutchinson Cancer Research Center >> 1100 Fairview Ave. N. >> PO Box 19024 Seattle, WA 98109 >> >> Location: Arnold Building M2 B169 >> Phone: (206) 667-2793 >> >> > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor
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Hi James, row.names is an argument indeed but it doesn?t seem to be the problem either; I still get the same error: > xxx <- read.table("mydata.txt", sep = "\t", header=TRUE,row.names=1, > colClasses="numeric") Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : scan() expected 'a real', got 'A0001' I have found out that for normalize.quantiles.robust() this works fine: aaa <- matrix(rnorm(100),ncol=5) colnames(aaa) <-c("aa","bb","cc","dd","ee") zzz <- normalize.quantiles.robust(aaa) but this does not: aaa <- matrix(c(15:114),ncol=5) colnames(aaa) <-c("aa","bb","cc","dd","ee") zzz <- normalize.quantiles.robust(aaa) Error in normalize.quantiles.robust(aaa) : REAL() can only be applied to a 'numeric', not a 'integer' This is my session info: > sessionInfo() R version 2.7.0 (2008-04-22) i386-pc-mingw32 attached base packages: [1] tools stats graphics grDevices utils datasets methods base other attached packages: [1] affy_1.18.0 preprocessCore_1.2.0 affyio_1.8.0 Biobase_2.0.0 D. "James W. MacDonald" <jmacdon at="" med.umich.edu=""> ha escrito: > Hi David, > > I think you also need a row.names = 1 in your call to read.table. Check > ?read.table to make sure - I don't have R on this computer so I can't > check myself. > > Best, > > Jim > > > > DAVID ARTETA GARCIA wrote: >> Dear Martin, thanks for your answer. I cannot make your first >> suggestion work: >> >>> xxx <- read.table("mydata.txt", sep = "\t", >>> header=TRUE,colClasses="numeric") >> Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, >> na.strings, : >> scan() expected 'a real', got 'A0001' >> >> I also tried removing the row.names and then I get >> >>> log.quant.rob.norm <-normalize.quantiles.robust(as.numeric(xxx)) >> Error in normalize.quantiles.robust(as.numeric(xxx)) : >> INTEGER() can only be applied to a 'integer', not a 'NULL' >> >> >> Any more thoughts? >> >> D. >> >> >> >> Martin Morgan <mtmorgan at="" fhcrc.org=""> ha escrito: >> >>> Hi David -- >>> >>> DAVID ARTETA GARCIA <darteta001 at="" ikasle.ehu.es=""> writes: >>> >>>> Dear list, I have a matrix I imported using read.table with raw >>>> intensity data for 12 samples and 2300 genes in one colour, as folows: >>>> >>>>> dim(xxx) >>>> [1] 2352 12 >>>> >>>>> head(xxx) >>>> 0025 0039 0041 0043 0047 0058 0061 0067 0072 0073 0078 0085 >>>> A0001 953 509 1669 867 6672 1526 453 397 883 686 382 429 >>>> A0002 1769 641 1635 1357 4364 1308 552 441 888 1374 493 693 >>>> A0003 2304 943 2701 1745 4966 1622 807 591 1283 1579 517 870 >>>> A0004 2185 1235 3992 1866 6462 1556 1004 781 1512 1911 762 906 >>>> A0005 1842 1008 1904 1434 6331 1155 759 515 1155 1448 510 764 >>>> A0006 1586 909 2294 641 7729 1367 788 489 1317 714 503 301 >>>> >>>> >>>>> class(xxx) >>>> [1] "matrix" >>>> >>>> >>>> I am trying to normalize using robust quantiles but I get an error >>>> that I don?t understand. >>>> >>>>> log.quant.rob.norm<-normalize.quantiles.robust(xxx,use.log2=TRUE) >>>> Error in normalize.quantiles.robust(xxx, use.log2 = TRUE) : >>>> REAL() can only be applied to a 'numeric', not a 'integer' >>>>> is.numeric(xxx) >>>> [1] TRUE >>> >>> I guess is.integer(xxx) returns TRUE; integer is a subclass of >>> numeric, so they are both TRUE. You'll want to convert your intensity >>> measures to numeric (e.g., with the colClasses="numeric" argument to >>> whatever read.* function you used, or as.numeric(xxx). >>> >>> Martin >>> >>>> >>>> Can anyone help me with this? >>>> >>>> TIA, >>>> >>>> D. >>>> >>>> _______________________________________________ >>>> Bioconductor mailing list >>>> Bioconductor at stat.math.ethz.ch >>>> https://stat.ethz.ch/mailman/listinfo/bioconductor >>>> Search the archives: >>>> http://news.gmane.org/gmane.science.biology.informatics.conductor >>> >>> -- >>> Martin Morgan >>> Computational Biology / Fred Hutchinson Cancer Research Center >>> 1100 Fairview Ave. N. >>> PO Box 19024 Seattle, WA 98109 >>> >>> Location: Arnold Building M2 B169 >>> Phone: (206) 667-2793 >>> >>> >> >> _______________________________________________ >> Bioconductor mailing list >> Bioconductor at stat.math.ethz.ch >> https://stat.ethz.ch/mailman/listinfo/bioconductor >> Search the archives: >> http://news.gmane.org/gmane.science.biology.informatics.conductor
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Hi, On Wed, Jul 2, 2008 at 8:36 AM, DAVID ARTETA GARCIA <darteta001 at="" ikasle.ehu.es=""> wrote: > Hi James, > > row.names is an argument indeed but it doesn?t seem to be the problem > either; I still get the same error: > >> xxx <- read.table("mydata.txt", sep = "\t", header=TRUE,row.names=1, >> colClasses="numeric") > > Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, > : > scan() expected 'a real', got 'A0001' > > I have found out that for normalize.quantiles.robust() this works fine: > > aaa <- matrix(rnorm(100),ncol=5) > colnames(aaa) <-c("aa","bb","cc","dd","ee") > zzz <- normalize.quantiles.robust(aaa) > > but this does not: > > aaa <- matrix(c(15:114),ncol=5) dim <- dim(aaa); aaa <- as.double(aaa); dim(aaa) <- dim; Should solve it. /Henrik > colnames(aaa) <-c("aa","bb","cc","dd","ee") > zzz <- normalize.quantiles.robust(aaa) > Error in normalize.quantiles.robust(aaa) : > REAL() can only be applied to a 'numeric', not a 'integer' > > > This is my session info: > >> sessionInfo() > > R version 2.7.0 (2008-04-22) > i386-pc-mingw32 > > attached base packages: > [1] tools stats graphics grDevices utils datasets methods > base > > other attached packages: > [1] affy_1.18.0 preprocessCore_1.2.0 affyio_1.8.0 > Biobase_2.0.0 > > > D. > > "James W. MacDonald" <jmacdon at="" med.umich.edu=""> ha escrito: > >> Hi David, >> >> I think you also need a row.names = 1 in your call to read.table. Check >> ?read.table to make sure - I don't have R on this computer so I can't >> check myself. >> >> Best, >> >> Jim >> >> >> >> DAVID ARTETA GARCIA wrote: >>> >>> Dear Martin, thanks for your answer. I cannot make your first suggestion >>> work: >>> >>>> xxx <- read.table("mydata.txt", sep = "\t", >>>> header=TRUE,colClasses="numeric") >>> >>> Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, >>> na.strings, : >>> scan() expected 'a real', got 'A0001' >>> >>> I also tried removing the row.names and then I get >>> >>>> log.quant.rob.norm <-normalize.quantiles.robust(as.numeric(xxx)) >>> >>> Error in normalize.quantiles.robust(as.numeric(xxx)) : >>> INTEGER() can only be applied to a 'integer', not a 'NULL' >>> >>> >>> Any more thoughts? >>> >>> D. >>> >>> >>> >>> Martin Morgan <mtmorgan at="" fhcrc.org=""> ha escrito: >>> >>>> Hi David -- >>>> >>>> DAVID ARTETA GARCIA <darteta001 at="" ikasle.ehu.es=""> writes: >>>> >>>>> Dear list, I have a matrix I imported using read.table with raw >>>>> intensity data for 12 samples and 2300 genes in one colour, as folows: >>>>> >>>>>> dim(xxx) >>>>> >>>>> [1] 2352 12 >>>>> >>>>>> head(xxx) >>>>> >>>>> 0025 0039 0041 0043 0047 0058 0061 0067 0072 0073 0078 0085 >>>>> A0001 953 509 1669 867 6672 1526 453 397 883 686 382 429 >>>>> A0002 1769 641 1635 1357 4364 1308 552 441 888 1374 493 693 >>>>> A0003 2304 943 2701 1745 4966 1622 807 591 1283 1579 517 870 >>>>> A0004 2185 1235 3992 1866 6462 1556 1004 781 1512 1911 762 906 >>>>> A0005 1842 1008 1904 1434 6331 1155 759 515 1155 1448 510 764 >>>>> A0006 1586 909 2294 641 7729 1367 788 489 1317 714 503 301 >>>>> >>>>> >>>>>> class(xxx) >>>>> >>>>> [1] "matrix" >>>>> >>>>> >>>>> I am trying to normalize using robust quantiles but I get an error >>>>> that I don?t understand. >>>>> >>>>>> log.quant.rob.norm<-normalize.quantiles.robust(xxx,use.log2=TRUE) >>>>> >>>>> Error in normalize.quantiles.robust(xxx, use.log2 = TRUE) : >>>>> REAL() can only be applied to a 'numeric', not a 'integer' >>>>>> >>>>>> is.numeric(xxx) >>>>> >>>>> [1] TRUE >>>> >>>> I guess is.integer(xxx) returns TRUE; integer is a subclass of >>>> numeric, so they are both TRUE. You'll want to convert your intensity >>>> measures to numeric (e.g., with the colClasses="numeric" argument to >>>> whatever read.* function you used, or as.numeric(xxx). >>>> >>>> Martin >>>> >>>>> >>>>> Can anyone help me with this? >>>>> >>>>> TIA, >>>>> >>>>> D. >>>>> >>>>> _______________________________________________ >>>>> Bioconductor mailing list >>>>> Bioconductor at stat.math.ethz.ch >>>>> https://stat.ethz.ch/mailman/listinfo/bioconductor >>>>> Search the archives: >>>>> http://news.gmane.org/gmane.science.biology.informatics.conductor >>>> >>>> -- >>>> Martin Morgan >>>> Computational Biology / Fred Hutchinson Cancer Research Center >>>> 1100 Fairview Ave. N. >>>> PO Box 19024 Seattle, WA 98109 >>>> >>>> Location: Arnold Building M2 B169 >>>> Phone: (206) 667-2793 >>>> >>>> >>> >>> _______________________________________________ >>> Bioconductor mailing list >>> Bioconductor at stat.math.ethz.ch >>> https://stat.ethz.ch/mailman/listinfo/bioconductor >>> Search the archives: >>> http://news.gmane.org/gmane.science.biology.informatics.conductor > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor >
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Hi David, Note that the colClasses argument really wants a vector, and includes the column names as well (see ?read.table). So you want something like colClasses = rep(c("character", "numeric"), c(1, 5)) Where the c(1,5) needs to be adjusted for the number of numeric columns in your original table. Best, Jim DAVID ARTETA GARCIA wrote: > Hi James, > > row.names is an argument indeed but it doesn?t seem to be the problem > either; I still get the same error: > >> xxx <- read.table("mydata.txt", sep = "\t", header=TRUE,row.names=1, >> colClasses="numeric") > Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, > na.strings, : > scan() expected 'a real', got 'A0001' > > I have found out that for normalize.quantiles.robust() this works fine: > > aaa <- matrix(rnorm(100),ncol=5) > colnames(aaa) <-c("aa","bb","cc","dd","ee") > zzz <- normalize.quantiles.robust(aaa) > > but this does not: > > aaa <- matrix(c(15:114),ncol=5) > colnames(aaa) <-c("aa","bb","cc","dd","ee") > zzz <- normalize.quantiles.robust(aaa) > Error in normalize.quantiles.robust(aaa) : > REAL() can only be applied to a 'numeric', not a 'integer' > > > This is my session info: > >> sessionInfo() > R version 2.7.0 (2008-04-22) > i386-pc-mingw32 > > attached base packages: > [1] tools stats graphics grDevices utils datasets > methods base > > other attached packages: > [1] affy_1.18.0 preprocessCore_1.2.0 affyio_1.8.0 > Biobase_2.0.0 > > > D. > > "James W. MacDonald" <jmacdon at="" med.umich.edu=""> ha escrito: > >> Hi David, >> >> I think you also need a row.names = 1 in your call to read.table. Check >> ?read.table to make sure - I don't have R on this computer so I can't >> check myself. >> >> Best, >> >> Jim >> >> >> >> DAVID ARTETA GARCIA wrote: >>> Dear Martin, thanks for your answer. I cannot make your first >>> suggestion work: >>> >>>> xxx <- read.table("mydata.txt", sep = "\t", >>>> header=TRUE,colClasses="numeric") >>> Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, >>> na.strings, : >>> scan() expected 'a real', got 'A0001' >>> >>> I also tried removing the row.names and then I get >>> >>>> log.quant.rob.norm <-normalize.quantiles.robust(as.numeric(xxx)) >>> Error in normalize.quantiles.robust(as.numeric(xxx)) : >>> INTEGER() can only be applied to a 'integer', not a 'NULL' >>> >>> >>> Any more thoughts? >>> >>> D. >>> >>> >>> >>> Martin Morgan <mtmorgan at="" fhcrc.org=""> ha escrito: >>> >>>> Hi David -- >>>> >>>> DAVID ARTETA GARCIA <darteta001 at="" ikasle.ehu.es=""> writes: >>>> >>>>> Dear list, I have a matrix I imported using read.table with raw >>>>> intensity data for 12 samples and 2300 genes in one colour, as >>>>> folows: >>>>> >>>>>> dim(xxx) >>>>> [1] 2352 12 >>>>> >>>>>> head(xxx) >>>>> 0025 0039 0041 0043 0047 0058 0061 0067 0072 0073 0078 0085 >>>>> A0001 953 509 1669 867 6672 1526 453 397 883 686 382 429 >>>>> A0002 1769 641 1635 1357 4364 1308 552 441 888 1374 493 693 >>>>> A0003 2304 943 2701 1745 4966 1622 807 591 1283 1579 517 870 >>>>> A0004 2185 1235 3992 1866 6462 1556 1004 781 1512 1911 762 906 >>>>> A0005 1842 1008 1904 1434 6331 1155 759 515 1155 1448 510 764 >>>>> A0006 1586 909 2294 641 7729 1367 788 489 1317 714 503 301 >>>>> >>>>> >>>>>> class(xxx) >>>>> [1] "matrix" >>>>> >>>>> >>>>> I am trying to normalize using robust quantiles but I get an error >>>>> that I don?t understand. >>>>> >>>>>> log.quant.rob.norm<-normalize.quantiles.robust(xxx,use.log2=TRUE) >>>>> Error in normalize.quantiles.robust(xxx, use.log2 = TRUE) : >>>>> REAL() can only be applied to a 'numeric', not a 'integer' >>>>>> is.numeric(xxx) >>>>> [1] TRUE >>>> >>>> I guess is.integer(xxx) returns TRUE; integer is a subclass of >>>> numeric, so they are both TRUE. You'll want to convert your intensity >>>> measures to numeric (e.g., with the colClasses="numeric" argument to >>>> whatever read.* function you used, or as.numeric(xxx). >>>> >>>> Martin >>>> >>>>> >>>>> Can anyone help me with this? >>>>> >>>>> TIA, >>>>> >>>>> D. >>>>> >>>>> _______________________________________________ >>>>> Bioconductor mailing list >>>>> Bioconductor at stat.math.ethz.ch >>>>> https://stat.ethz.ch/mailman/listinfo/bioconductor >>>>> Search the archives: >>>>> http://news.gmane.org/gmane.science.biology.informatics.conductor >>>> >>>> -- >>>> Martin Morgan >>>> Computational Biology / Fred Hutchinson Cancer Research Center >>>> 1100 Fairview Ave. N. >>>> PO Box 19024 Seattle, WA 98109 >>>> >>>> Location: Arnold Building M2 B169 >>>> Phone: (206) 667-2793 >>>> >>>> >>> >>> _______________________________________________ >>> Bioconductor mailing list >>> Bioconductor at stat.math.ethz.ch >>> https://stat.ethz.ch/mailman/listinfo/bioconductor >>> Search the archives: >>> http://news.gmane.org/gmane.science.biology.informatics.conductor > > > >
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Thanks Ben and rest setting the storage mode to "double" solved the problem. I didn?t know there was a difference between a "12.73" and a "12". All the values in my data.frame were non-decimals. Guess is my lack of programming knowledge. I will look into that. Best, David DAVID ARTETA GARCIA <darteta001 at="" ikasle.ehu.es=""> ha escrito: > Hi James, > > row.names is an argument indeed but it doesn?t seem to be the > problem either; I still get the same error: > >> xxx <- read.table("mydata.txt", sep = "\t", >> header=TRUE,row.names=1, colClasses="numeric") > Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : > scan() expected 'a real', got 'A0001' > > I have found out that for normalize.quantiles.robust() this works fine: > > aaa <- matrix(rnorm(100),ncol=5) > colnames(aaa) <-c("aa","bb","cc","dd","ee") > zzz <- normalize.quantiles.robust(aaa) > > but this does not: > > aaa <- matrix(c(15:114),ncol=5) > colnames(aaa) <-c("aa","bb","cc","dd","ee") > zzz <- normalize.quantiles.robust(aaa) > Error in normalize.quantiles.robust(aaa) : > REAL() can only be applied to a 'numeric', not a 'integer' > > > This is my session info: > >> sessionInfo() > R version 2.7.0 (2008-04-22) > i386-pc-mingw32 > > attached base packages: > [1] tools stats graphics grDevices utils datasets > methods base > > other attached packages: > [1] affy_1.18.0 preprocessCore_1.2.0 affyio_1.8.0 > Biobase_2.0.0 > > > D. > > "James W. MacDonald" <jmacdon at="" med.umich.edu=""> ha escrito: > >> Hi David, >> >> I think you also need a row.names = 1 in your call to read.table. Check >> ?read.table to make sure - I don't have R on this computer so I can't >> check myself. >> >> Best, >> >> Jim >> >> >> >> DAVID ARTETA GARCIA wrote: >>> Dear Martin, thanks for your answer. I cannot make your first >>> suggestion work: >>> >>>> xxx <- read.table("mydata.txt", sep = "\t", >>>> header=TRUE,colClasses="numeric") >>> Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, >>> na.strings, : >>> scan() expected 'a real', got 'A0001' >>> >>> I also tried removing the row.names and then I get >>> >>>> log.quant.rob.norm <-normalize.quantiles.robust(as.numeric(xxx)) >>> Error in normalize.quantiles.robust(as.numeric(xxx)) : >>> INTEGER() can only be applied to a 'integer', not a 'NULL' >>> >>> >>> Any more thoughts? >>> >>> D. >>> >>> >>> >>> Martin Morgan <mtmorgan at="" fhcrc.org=""> ha escrito: >>> >>>> Hi David -- >>>> >>>> DAVID ARTETA GARCIA <darteta001 at="" ikasle.ehu.es=""> writes: >>>> >>>>> Dear list, I have a matrix I imported using read.table with raw >>>>> intensity data for 12 samples and 2300 genes in one colour, as folows: >>>>> >>>>>> dim(xxx) >>>>> [1] 2352 12 >>>>> >>>>>> head(xxx) >>>>> 0025 0039 0041 0043 0047 0058 0061 0067 0072 0073 0078 0085 >>>>> A0001 953 509 1669 867 6672 1526 453 397 883 686 382 429 >>>>> A0002 1769 641 1635 1357 4364 1308 552 441 888 1374 493 693 >>>>> A0003 2304 943 2701 1745 4966 1622 807 591 1283 1579 517 870 >>>>> A0004 2185 1235 3992 1866 6462 1556 1004 781 1512 1911 762 906 >>>>> A0005 1842 1008 1904 1434 6331 1155 759 515 1155 1448 510 764 >>>>> A0006 1586 909 2294 641 7729 1367 788 489 1317 714 503 301 >>>>> >>>>> >>>>>> class(xxx) >>>>> [1] "matrix" >>>>> >>>>> >>>>> I am trying to normalize using robust quantiles but I get an error >>>>> that I don?t understand. >>>>> >>>>>> log.quant.rob.norm<-normalize.quantiles.robust(xxx,use.log2=TRUE) >>>>> Error in normalize.quantiles.robust(xxx, use.log2 = TRUE) : >>>>> REAL() can only be applied to a 'numeric', not a 'integer' >>>>>> is.numeric(xxx) >>>>> [1] TRUE >>>> >>>> I guess is.integer(xxx) returns TRUE; integer is a subclass of >>>> numeric, so they are both TRUE. You'll want to convert your intensity >>>> measures to numeric (e.g., with the colClasses="numeric" argument to >>>> whatever read.* function you used, or as.numeric(xxx). >>>> >>>> Martin >>>> >>>>> >>>>> Can anyone help me with this? >>>>> >>>>> TIA, >>>>> >>>>> D. >>>>> >>>>> _______________________________________________ >>>>> Bioconductor mailing list >>>>> Bioconductor at stat.math.ethz.ch >>>>> https://stat.ethz.ch/mailman/listinfo/bioconductor >>>>> Search the archives: >>>>> http://news.gmane.org/gmane.science.biology.informatics.conductor >>>> >>>> -- >>>> Martin Morgan >>>> Computational Biology / Fred Hutchinson Cancer Research Center >>>> 1100 Fairview Ave. N. >>>> PO Box 19024 Seattle, WA 98109 >>>> >>>> Location: Arnold Building M2 B169 >>>> Phone: (206) 667-2793 >>>> >>>> >>> >>> _______________________________________________ >>> Bioconductor mailing list >>> Bioconductor at stat.math.ethz.ch >>> https://stat.ethz.ch/mailman/listinfo/bioconductor >>> Search the archives: >>> http://news.gmane.org/gmane.science.biology.informatics.conductor > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor
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